AI Medical Compendium Topic

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Decision Support Systems, Clinical

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[Short paths to diagnosis with artificial intelligence: systematic literature review on diagnostic decision support systems].

Schmerz (Berlin, Germany)
BACKGROUND: Rare diseases are often recognized late. Their diagnosis is particularly challenging due to the diversity, complexity and heterogeneity of clinical symptoms. Computer-aided diagnostic aids, often referred to as diagnostic decision support...

The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review.

Journal of medical systems
Implementation of clinical practice guidelines (CPG) is a complex and challenging task. Computer technology, including artificial intelligence (AI), has been explored to promote the CPG implementation. This study has reviewed the main domains where c...

Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.

Journal of medical Internet research
Digital health tools, platforms, and artificial intelligence- or machine learning-based clinical decision support systems are increasingly part of health delivery approaches, with an ever-greater degree of system interaction. Critical to the successf...

Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images.

Medical engineering & physics
The process of feature selection (FS) is vital aspect of machine learning (ML) model's performance enhancement where the objective is the selection of the most influential subset of features. This paper suggests the Gravitational search optimization ...

[Making a diagnosis with the aid of the internet in times of large language models].

Nederlands tijdschrift voor geneeskunde
The internet is an excellent aid in making diagnoses. One can retrieve diagnostic information from a reliable source such as a continuously updated textbook or search specifically for a diagnosis in bibliographic databases such as PubMed. Entry of a ...

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence-Powered Graphical User Interface for Intensive Care Unit Instability Decision Support.

Applied clinical informatics
BACKGROUND: Critical instability forecast and treatment can be optimized by artificial intelligence (AI)-enabled clinical decision support. It is important that the user-facing display of AI output facilitates clinical thinking and workflow for all d...

APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support.

JAMA network open
IMPORTANCE: Artificial intelligence (AI) has gained considerable attention in health care, yet concerns have been raised around appropriate methods and fairness. Current AI reporting guidelines do not provide a means of quantifying overall quality of...

The need to strengthen the evaluation of the impact of Artificial Intelligence-based decision support systems on healthcare provision.

Health policy (Amsterdam, Netherlands)
Despite the renewed interest in Artificial Intelligence-based clinical decision support systems (AI-CDS), there is still a lack of empirical evidence supporting their effectiveness. This underscores the need for rigorous and continuous evaluation and...